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~language:"eng"
~subject:"Estimation theory"
~subject:"Stochastischer Prozess"
~type_genre:"Non-commercial literature"
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Multi-agent robust optimal investment problem in incomplete market
Kizaki, Keisuke
;
Saito, Taiga
;
Takahashi, Akihiko
-
2023
Persistent link: https://www.econbiz.de/10014438131
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New asymptotic expansion formula via Malliavin calculus and its application to rough differential equation driven by fractional Brownian motion
Takahashi, Akihiko
;
Yamada, Toshihiro
-
2023
-
This version: July 3, 2023
Persistent link: https://www.econbiz.de/10014383870
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3
A new efficient approximation scheme for solving high-dimensional semilinear PDEs : control variate method for Deep BSDE solver
Takahashi, Akihiko
;
Tsuchida, Yoshifumi
;
Yamada, Toshihiro
-
2021
Persistent link: https://www.econbiz.de/10012813680
Saved in:
4
A new efficient approximation scheme for solving high-dimensional semilinear PDEs : control variate method for Deep BSDE solver
Takahashi, Akihiko
;
Tsuchida, Yoshifumi
;
Yamada, Toshihiro
-
2021
-
This version : August 10, 2021
Persistent link: https://www.econbiz.de/10012616192
Saved in:
5
Supplementary file for "Sup-inf/inf-sup problem on choice of a probability measure by FBSDE approach"
Saito, Taiga
;
Takahashi, Akihiko
-
2021
Persistent link: https://www.econbiz.de/10012616241
Saved in:
6
Multi-agent robust optimal investment problem in incomplete market
Kizaki, Keisuke
;
Saito, Taiga
;
Takahashi, Akihiko
-
2022
-
Revised in November 2022
Persistent link: https://www.econbiz.de/10013463761
Saved in:
7
Solving Kolmogorov PDEs without the curse of dimensionality via deep learning and asymptotic expansion with Malliavin calculus
Takahashi, Akihiko
;
Yamada, Toshihiro
-
2023
-
This version: May 9, 2023
Persistent link: https://www.econbiz.de/10014289121
Saved in:
8
Asymptotic expansion and deep neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with nonlinear coeffi...
Takahashi, Akihiko
;
Yamada, Toshihiro
-
2022
Persistent link: https://www.econbiz.de/10014266218
Saved in:
9
Solving Kolmogorov PDEs without the curse of dimensionality via deep learning and asymptotic expansion with Malliavin calculus
Takahashi, Akihiko
;
Yamada, Toshihiro
-
2023
-
This version : May 9, 2023
Persistent link: https://www.econbiz.de/10014266288
Saved in:
10
A new efficient approximation scheme for solving high-dimensional semilinear PDEs : control variate method for Deep BSDE solver
Takahashi, Akihiko
;
Tsuchida, Yoshifumi
;
Yamada, Toshihiro
-
2021
-
Revised in August, November 2021, January and February 2022
Persistent link: https://www.econbiz.de/10013335002
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